A neural-network-based algorithm has been developed to control steady state vibration in a flexible structure. The main feature of this algorithm is that neural networks are trained to compensate for uncertainties in system parameters and excitation frequencies. Numerical results are presented to corroborate the validity of this algorithm.
|Original language||English (US)|
|Number of pages||6|
|Journal||American Society of Mechanical Engineers, Design Engineering Division (Publication) DE|
|State||Published - Dec 1 1996|
All Science Journal Classification (ASJC) codes
- Control and Systems Engineering